EDA Report

Dataset statistics

Number of variables	18
Number of observations	36474
Missing cells	7370
Missing cells (%)	1.1%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	22.2 MiB
Average record size in memory	639.4 B

Variable types

Numeric	7
Categorical	10
Boolean	1

Alerts

`Time_Orderd` has a high cardinality: 176 distinct values	High cardinality
`Time_Order_picked` has a high cardinality: 193 distinct values	High cardinality
`Restaurant_latitude` is highly correlated with `Delivery_location_latitude`	High correlation
`Restaurant_longitude` is highly correlated with `Delivery_location_longitude`	High correlation
`Delivery_location_latitude` is highly correlated with `Restaurant_latitude`	High correlation
`Delivery_location_longitude` is highly correlated with `Restaurant_longitude`	High correlation
`Restaurant_latitude` is highly correlated with `Restaurant_longitude` and 2 other fields	High correlation
`Restaurant_longitude` is highly correlated with `Restaurant_latitude` and 2 other fields	High correlation
`Delivery_location_latitude` is highly correlated with `Restaurant_latitude` and 2 other fields	High correlation
`Delivery_location_longitude` is highly correlated with `Restaurant_latitude` and 2 other fields	High correlation
`Restaurant_latitude` is highly correlated with `Delivery_location_latitude`	High correlation
`Restaurant_longitude` is highly correlated with `Delivery_location_longitude`	High correlation
`Delivery_location_latitude` is highly correlated with `Restaurant_latitude`	High correlation
`Delivery_location_longitude` is highly correlated with `Restaurant_longitude`	High correlation
`Delivery_person_Age` is highly correlated with `Delivery_person_Ratings` and 3 other fields	High correlation
`Delivery_person_Ratings` is highly correlated with `Delivery_person_Age` and 3 other fields	High correlation
`Restaurant_latitude` is highly correlated with `Restaurant_longitude` and 2 other fields	High correlation
`Restaurant_longitude` is highly correlated with `Delivery_person_Age` and 4 other fields	High correlation
`Delivery_location_latitude` is highly correlated with `Restaurant_latitude` and 2 other fields	High correlation
`Delivery_location_longitude` is highly correlated with `Restaurant_latitude` and 2 other fields	High correlation
`Vehicle_condition` is highly correlated with `Delivery_person_Age` and 2 other fields	High correlation
`Type_of_vehicle` is highly correlated with `Delivery_person_Age` and 2 other fields	High correlation
`multiple_deliveries` is highly correlated with `Time_taken`	High correlation
`Festival` is highly correlated with `Time_taken`	High correlation
`Time_taken` is highly correlated with `multiple_deliveries` and 1 other fields	High correlation
`Delivery_person_Age` has 1504 (4.1%) missing values	Missing
`Delivery_person_Ratings` has 1546 (4.2%) missing values	Missing
`Time_Orderd` has 1409 (3.9%) missing values	Missing
`Weather` has 492 (1.3%) missing values	Missing
`Road_traffic_density` has 482 (1.3%) missing values	Missing
`multiple_deliveries` has 792 (2.2%) missing values	Missing
`City` has 958 (2.6%) missing values	Missing
`Restaurant_latitude` has 2895 (7.9%) zeros	Zeros
`Restaurant_longitude` has 2895 (7.9%) zeros	Zeros

Reproduction

Analysis started	2022-08-27 16:05:25.868769
Analysis finished	2022-08-27 16:05:40.260381
Duration	14.39 seconds
Software version	pandas-profiling v3.2.0
Download configuration	config.json

Delivery_person_Age
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	22
Distinct (%)	0.1%
Missing	1504
Missing (%)	4.1%
Infinite	0
Infinite (%)	0.0%
Mean	29.57932514

Minimum	15
Maximum	50
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	285.1 KiB

Quantile statistics

Minimum	15
5-th percentile	20.45
Q1	25
median	30
Q3	35
95-th percentile	39
Maximum	50
Range	35
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	5.815759296
Coefficient of variation (CV)	0.1966156858
Kurtosis	-1.062652747
Mean	29.57932514
Median Absolute Deviation (MAD)	5
Skewness	0.01275537863
Sum	1034389
Variance	33.82305619
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=22)

Value	Count	Frequency (%)
35	1825	5.0%
36	1813	5.0%
38	1801	4.9%
30	1779	4.9%
22	1774	4.9%
37	1767	4.8%
29	1765	4.8%
32	1762	4.8%
33	1750	4.8%
24	1749	4.8%
Other values (12)	17185	47.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	30	0.1%
20	1719	4.7%
21	1704	4.7%
22	1774	4.9%
23	1664	4.6%
24	1749	4.8%
25	1717	4.7%
26	1695	4.6%
27	1736	4.8%
28	1727	4.7%

Value	Count	Frequency (%)
50	41	0.1%
39	1712	4.7%
38	1801	4.9%
37	1767	4.8%
36	1813	5.0%
35	1825	5.0%
34	1723	4.7%
33	1750	4.8%
32	1762	4.8%
31	1717	4.7%

Delivery_person_Ratings
Real number (ℝ_≥0)

HIGH CORRELATION
MISSING

Distinct	28
Distinct (%)	0.1%
Missing	1546
Missing (%)	4.2%
Infinite	0
Infinite (%)	0.0%
Mean	4.633574782

Minimum	1
Maximum	6
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	285.1 KiB

Quantile statistics

Minimum	1
5-th percentile	4
Q1	4.5
median	4.7
Q3	4.9
95-th percentile	5
Maximum	6
Range	5
Interquartile range (IQR)	0.4

Descriptive statistics

Standard deviation	0.333933149
Coefficient of variation (CV)	0.07206814711
Kurtosis	15.48293613
Mean	4.633574782
Median Absolute Deviation (MAD)	0.2
Skewness	-2.470103294
Sum	161841.5
Variance	0.111511348
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=28)

Value	Count	Frequency (%)
4.8	5704	15.6%
4.7	5692	15.6%
4.9	5635	15.4%
4.6	5556	15.2%
5	3195	8.8%
4.5	2625	7.2%
4.1	1146	3.1%
4.3	1135	3.1%
4.4	1122	3.1%
4.2	1099	3.0%
Other values (18)	2019	5.5%
(Missing)	1546	4.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	30	0.1%
2.5	15	< 0.1%
2.6	14	< 0.1%
2.7	19	0.1%
2.8	14	< 0.1%
2.9	13	< 0.1%
3	5	< 0.1%
3.1	24	0.1%
3.2	22	0.1%
3.3	19	0.1%

Value	Count	Frequency (%)
6	41	0.1%
5	3195	8.8%
4.9	5635	15.4%
4.8	5704	15.6%
4.7	5692	15.6%
4.6	5556	15.2%
4.5	2625	7.2%
4.4	1122	3.1%
4.3	1135	3.1%
4.2	1099	3.0%

Restaurant_latitude
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	635
Distinct (%)	1.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.0175992

Minimum	-30.905562
Maximum	30.914057
Zeros	2895
Zeros (%)	7.9%
Negative	354
Negative (%)	1.0%
Memory size	285.1 KiB

Quantile statistics

Minimum	-30.905562
5-th percentile	0
Q1	12.933284
median	18.55144
Q3	22.728163
95-th percentile	26.913987
Maximum	30.914057
Range	61.819619
Interquartile range (IQR)	9.794879

Descriptive statistics

Standard deviation	8.190672134
Coefficient of variation (CV)	0.4813059725
Kurtosis	3.813834451
Mean	17.0175992
Median Absolute Deviation (MAD)	5.484678
Skewness	-1.383686322
Sum	620699.9133
Variance	67.08711
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2895	7.9%
26.911378	151	0.4%
26.88842	146	0.4%
26.914142	144	0.4%
19.131141	144	0.4%
21.173493	143	0.4%
23.371292	143	0.4%
12.979166	142	0.4%
17.41233	141	0.4%
26.905287	140	0.4%
Other values (625)	32285	88.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-30.905562	1	< 0.1%
-30.902872	2	< 0.1%
-30.899584	1	< 0.1%
-30.895817	3	< 0.1%
-30.893384	1	< 0.1%
-30.893244	1	< 0.1%
-30.890184	1	< 0.1%
-30.885915	1	< 0.1%
-30.885814	1	< 0.1%
-30.873988	2	< 0.1%

Value	Count	Frequency (%)
30.914057	35	0.1%
30.905562	28	0.1%
30.902872	23	0.1%
30.899992	26	0.1%
30.899584	30	0.1%
30.895817	28	0.1%
30.895204	33	0.1%
30.893384	32	0.1%
30.893244	26	0.1%
30.893234	26	0.1%

Restaurant_longitude
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct	503
Distinct (%)	1.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	70.23567533

Minimum	-88.366217
Maximum	88.433452
Zeros	2895
Zeros (%)	7.9%
Negative	138
Negative (%)	0.4%
Memory size	285.1 KiB

Quantile statistics

Minimum	-88.366217
5-th percentile	0
Q1	73.17
median	75.898497
Q3	78.045359
95-th percentile	85.325347
Maximum	88.433452
Range	176.799669
Interquartile range (IQR)	4.875359

Descriptive statistics

Standard deviation	22.94683429
Coefficient of variation (CV)	0.3267119478
Kurtosis	10.51608333
Mean	70.23567533
Median Absolute Deviation (MAD)	2.164046
Skewness	-3.242196708
Sum	2561776.022
Variance	526.5572042
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	2895	7.9%
75.789034	151	0.4%
75.800689	146	0.4%
75.805704	145	0.4%
85.327872	144	0.4%
72.813074	144	0.4%
72.801953	143	0.4%
77.640709	142	0.4%
75.797282	141	0.4%
78.449654	141	0.4%
Other values (493)	32282	88.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-88.366217	1	< 0.1%
-88.352885	1	< 0.1%
-88.349843	1	< 0.1%
-88.322337	1	< 0.1%
-85.33982	1	< 0.1%
-85.335486	1	< 0.1%
-85.325731	2	< 0.1%
-85.325447	2	< 0.1%
-85.325146	1	< 0.1%
-81.860187	1	< 0.1%

Value	Count	Frequency (%)
88.433452	28	0.1%
88.433187	32	0.1%
88.400581	26	0.1%
88.400467	27	0.1%
88.39331	29	0.1%
88.393294	33	0.1%
88.368628	27	0.1%
88.36783	22	0.1%
88.366217	26	0.1%
88.365507	34	0.1%

Delivery_location_latitude
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4347
Distinct (%)	11.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	17.47502819

Minimum	0.01
Maximum	31.054057
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	285.1 KiB

Quantile statistics

Minimum	0.01
5-th percentile	0.08
Q1	12.989096
median	18.639156
Q3	22.785207
95-th percentile	27.022313
Maximum	31.054057
Range	31.044057
Interquartile range (IQR)	9.796111

Descriptive statistics

Standard deviation	7.317831025
Coefficient of variation (CV)	0.4187593259
Kurtosis	0.2769021953
Mean	17.47502819
Median Absolute Deviation (MAD)	5.479376
Skewness	-0.707343297
Sum	637384.1782
Variance	53.55065092
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.13	277	0.8%
0.11	273	0.7%
0.06	270	0.7%
0.09	268	0.7%
0.02	264	0.7%
0.01	262	0.7%
0.03	261	0.7%
0.05	258	0.7%
0.08	257	0.7%
0.04	255	0.7%
Other values (4337)	33829	92.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.01	262	0.7%
0.02	264	0.7%
0.03	261	0.7%
0.04	255	0.7%
0.05	258	0.7%
0.06	270	0.7%
0.07	250	0.7%
0.08	257	0.7%
0.09	268	0.7%
0.11	273	0.7%

Value	Count	Frequency (%)
31.054057	1	< 0.1%
31.045562	4	< 0.1%
31.044057	4	< 0.1%
31.042872	2	< 0.1%
31.039992	3	< 0.1%
31.039584	3	< 0.1%
31.035817	4	< 0.1%
31.035562	3	< 0.1%
31.035204	4	< 0.1%
31.033384	3	< 0.1%

Delivery_location_longitude
Real number (ℝ_≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct	4347
Distinct (%)	11.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	70.88584124

Minimum	0.01
Maximum	88.563452
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	285.1 KiB

Quantile statistics

Minimum	0.01
5-th percentile	0.08
Q1	73.279083
median	76.0034
Q3	78.112543
95-th percentile	85.376842
Maximum	88.563452
Range	88.553452
Interquartile range (IQR)	4.83346

Descriptive statistics

Standard deviation	21.06738054
Coefficient of variation (CV)	0.297201531
Kurtosis	7.167204335
Mean	70.88584124
Median Absolute Deviation (MAD)	2.202319
Skewness	-2.965856959
Sum	2585490.173
Variance	443.8345229
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0.13	277	0.8%
0.11	273	0.7%
0.06	270	0.7%
0.09	268	0.7%
0.02	264	0.7%
0.01	262	0.7%
0.03	261	0.7%
0.05	258	0.7%
0.08	257	0.7%
0.04	255	0.7%
Other values (4337)	33829	92.7%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.01	262	0.7%
0.02	264	0.7%
0.03	261	0.7%
0.04	255	0.7%
0.05	258	0.7%
0.06	270	0.7%
0.07	250	0.7%
0.08	257	0.7%
0.09	268	0.7%
0.11	273	0.7%

Value	Count	Frequency (%)
88.563452	1	< 0.1%
88.563187	3	< 0.1%
88.543452	3	< 0.1%
88.543187	3	< 0.1%
88.530581	4	< 0.1%
88.530467	2	< 0.1%
88.523452	3	< 0.1%
88.52331	2	< 0.1%
88.523294	2	< 0.1%
88.523187	2	< 0.1%

Order_Date
Categorical

Distinct	44
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

15-03-2022	975
05-03-2022	947
03-04-2022	943
13-03-2022	939
26-03-2022	939
Other values (39)	31731

Length

Max length	10
Median length	10
Mean length	10
Min length	10

Characters and Unicode

Total characters	364740
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	15-03-2022
2nd row	16-03-2022
3rd row	31-03-2022
4th row	20-03-2022
5th row	30-03-2022

Common Values

Value	Count	Frequency (%)
15-03-2022	975	2.7%
05-03-2022	947	2.6%
03-04-2022	943	2.6%
13-03-2022	939	2.6%
26-03-2022	939	2.6%
03-03-2022	931	2.6%
09-03-2022	931	2.6%
05-04-2022	930	2.5%
21-03-2022	922	2.5%
07-03-2022	918	2.5%
Other values (34)	27099	74.3%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
15-03-2022	975	2.7%
05-03-2022	947	2.6%
03-04-2022	943	2.6%
13-03-2022	939	2.6%
26-03-2022	939	2.6%
03-03-2022	931	2.6%
09-03-2022	931	2.6%
05-04-2022	930	2.5%
21-03-2022	922	2.5%
07-03-2022	918	2.5%
Other values (34)	27099	74.3%

Most occurring characters

Value	Count	Frequency (%)
2	125808	34.5%
0	88338	24.2%
-	72948	20.0%
3	31661	8.7%
1	19496	5.3%
4	8975	2.5%
5	4404	1.2%
6	3976	1.1%
7	3366	0.9%
8	3142	0.9%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	291792	80.0%
Dash Punctuation	72948	20.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	125808	43.1%
0	88338	30.3%
3	31661	10.9%
1	19496	6.7%
4	8975	3.1%
5	4404	1.5%
6	3976	1.4%
7	3366	1.2%
8	3142	1.1%
9	2626	0.9%

Dash Punctuation

Value	Count	Frequency (%)
-	72948	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	364740	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	125808	34.5%
0	88338	24.2%
-	72948	20.0%
3	31661	8.7%
1	19496	5.3%
4	8975	2.5%
5	4404	1.2%
6	3976	1.1%
7	3366	0.9%
8	3142	0.9%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	364740	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	125808	34.5%
0	88338	24.2%
-	72948	20.0%
3	31661	8.7%
1	19496	5.3%
4	8975	2.5%
5	4404	1.2%
6	3976	1.1%
7	3366	0.9%
8	3142	0.9%

Time_Orderd
Categorical

HIGH CARDINALITY
MISSING

Distinct	176
Distinct (%)	0.5%
Missing	1409
Missing (%)	3.9%
Memory size	2.1 MiB

21:35	373
17:55	369
21:55	366
22:20	362
21:15	360
Other values (171)	33235

Length

Max length	5
Median length	5
Mean length	4.909739056
Min length	4

Characters and Unicode

Total characters	172160
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	11:50
2nd row	19:40
3rd row	23:20
4th row	20:60
5th row	21:50

Common Values

Value	Count	Frequency (%)
21:35	373	1.0%
17:55	369	1.0%
21:55	366	1.0%
22:20	362	1.0%
21:15	360	1.0%
19:55	355	1.0%
17:35	351	1.0%
17:40	351	1.0%
19:60	351	1.0%
18:35	350	1.0%
Other values (166)	31477	86.3%
(Missing)	1409	3.9%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
21:35	373	1.1%
17:55	369	1.1%
21:55	366	1.0%
22:20	362	1.0%
21:15	360	1.0%
19:55	355	1.0%
17:35	351	1.0%
17:40	351	1.0%
19:60	351	1.0%
18:35	350	1.0%
Other values (166)	31477	89.8%

Most occurring characters

Value	Count	Frequency (%)
:	35065	20.4%
1	28823	16.7%
2	25287	14.7%
0	24212	14.1%
5	23048	13.4%
3	10687	6.2%
4	7071	4.1%
9	5258	3.1%
8	5182	3.0%
6	3813	2.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	137095	79.6%
Other Punctuation	35065	20.4%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	28823	21.0%
2	25287	18.4%
0	24212	17.7%
5	23048	16.8%
3	10687	7.8%
4	7071	5.2%
9	5258	3.8%
8	5182	3.8%
6	3813	2.8%
7	3714	2.7%

Other Punctuation

Value	Count	Frequency (%)
:	35065	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	172160	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
:	35065	20.4%
1	28823	16.7%
2	25287	14.7%
0	24212	14.1%
5	23048	13.4%
3	10687	6.2%
4	7071	4.1%
9	5258	3.1%
8	5182	3.0%
6	3813	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	172160	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
:	35065	20.4%
1	28823	16.7%
2	25287	14.7%
0	24212	14.1%
5	23048	13.4%
3	10687	6.2%
4	7071	4.1%
9	5258	3.1%
8	5182	3.0%
6	3813	2.2%

Time_Order_picked
Categorical

HIGH CARDINALITY

Distinct	193
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Memory size	2.2 MiB

21:30	386
17:55	380
18:05	377
21:45	375
22:25	370
Other values (188)	34586

Length

Max length	5
Median length	5
Mean length	4.918380216
Min length	4

Characters and Unicode

Total characters	179393
Distinct characters	11
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	12:05
2nd row	19:45
3rd row	23:25
4th row	21:15
5th row	22:05

Common Values

Value	Count	Frequency (%)
21:30	386	1.1%
17:55	380	1.0%
18:05	377	1.0%
21:45	375	1.0%
22:25	370	1.0%
22:40	369	1.0%
19:60	368	1.0%
23:50	363	1.0%
23:05	363	1.0%
18:45	362	1.0%
Other values (183)	32761	89.8%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
21:30	386	1.1%
17:55	380	1.0%
18:05	377	1.0%
21:45	375	1.0%
22:25	370	1.0%
22:40	369	1.0%
19:60	368	1.0%
23:50	363	1.0%
23:05	363	1.0%
18:45	362	1.0%
Other values (183)	32761	89.8%

Most occurring characters

Value	Count	Frequency (%)
:	36474	20.3%
1	27496	15.3%
0	26465	14.8%
5	26143	14.6%
2	26088	14.5%
3	11026	6.1%
4	7985	4.5%
9	5361	3.0%
8	5181	2.9%
6	3930	2.2%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	142919	79.7%
Other Punctuation	36474	20.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
1	27496	19.2%
0	26465	18.5%
5	26143	18.3%
2	26088	18.3%
3	11026	7.7%
4	7985	5.6%
9	5361	3.8%
8	5181	3.6%
6	3930	2.7%
7	3244	2.3%

Other Punctuation

Value	Count	Frequency (%)
:	36474	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	179393	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
:	36474	20.3%
1	27496	15.3%
0	26465	14.8%
5	26143	14.6%
2	26088	14.5%
3	11026	6.1%
4	7985	4.5%
9	5361	3.0%
8	5181	2.9%
6	3930	2.2%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	179393	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
:	36474	20.3%
1	27496	15.3%
0	26465	14.8%
5	26143	14.6%
2	26088	14.5%
3	11026	6.1%
4	7985	4.5%
9	5361	3.0%
8	5181	2.9%
6	3930	2.2%

Weather
Categorical

MISSING

Distinct	6
Distinct (%)	< 0.1%
Missing	492
Missing (%)	1.3%
Memory size	2.2 MiB

Fog	6119
Stormy	6070
Cloudy	6013
Windy	5999
Sandstorms	5959

Length

Max length	10
Median length	6
Mean length	5.823745206
Min length	3

Characters and Unicode

Total characters	209550
Distinct characters	17
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Cloudy
2nd row	Sandstorms
3rd row	Sandstorms
4th row	Stormy
5th row	Sandstorms

Common Values

Value	Count	Frequency (%)
Fog	6119	16.8%
Stormy	6070	16.6%
Cloudy	6013	16.5%
Windy	5999	16.4%
Sandstorms	5959	16.3%
Sunny	5822	16.0%
(Missing)	492	1.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
fog	6119	17.0%
stormy	6070	16.9%
cloudy	6013	16.7%
windy	5999	16.7%
sandstorms	5959	16.6%
sunny	5822	16.2%

Most occurring characters

Value	Count	Frequency (%)
o	24161	11.5%
y	23904	11.4%
n	23602	11.3%
d	17971	8.6%
S	17851	8.5%
r	12029	5.7%
t	12029	5.7%
m	12029	5.7%
s	11918	5.7%
u	11835	5.6%
Other values (7)	42221	20.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	173568	82.8%
Uppercase Letter	35982	17.2%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	24161	13.9%
y	23904	13.8%
n	23602	13.6%
d	17971	10.4%
r	12029	6.9%
t	12029	6.9%
m	12029	6.9%
s	11918	6.9%
u	11835	6.8%
g	6119	3.5%
Other values (3)	17971	10.4%

Uppercase Letter

Value	Count	Frequency (%)
S	17851	49.6%
F	6119	17.0%
C	6013	16.7%
W	5999	16.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	209550	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	24161	11.5%
y	23904	11.4%
n	23602	11.3%
d	17971	8.6%
S	17851	8.5%
r	12029	5.7%
t	12029	5.7%
m	12029	5.7%
s	11918	5.7%
u	11835	5.6%
Other values (7)	42221	20.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	209550	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	24161	11.5%
y	23904	11.4%
n	23602	11.3%
d	17971	8.6%
S	17851	8.5%
r	12029	5.7%
t	12029	5.7%
m	12029	5.7%
s	11918	5.7%
u	11835	5.6%
Other values (7)	42221	20.1%

Road_traffic_density
Categorical

MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	482
Missing (%)	1.3%
Memory size	2.1 MiB

Low	12366
Jam	11325
Medium	8761
High	3540

Length

Max length	6
Median length	3
Mean length	3.8286008
Min length	3

Characters and Unicode

Total characters	137799
Distinct characters	14
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	High
2nd row	Jam
3rd row	Low
4th row	Jam
5th row	Jam

Common Values

Value	Count	Frequency (%)
Low	12366	33.9%
Jam	11325	31.0%
Medium	8761	24.0%
High	3540	9.7%
(Missing)	482	1.3%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
low	12366	34.4%
jam	11325	31.5%
medium	8761	24.3%
high	3540	9.8%

Most occurring characters

Value	Count	Frequency (%)
m	20086	14.6%
w	12366	9.0%
o	12366	9.0%
L	12366	9.0%
i	12301	8.9%
a	11325	8.2%
J	11325	8.2%
u	8761	6.4%
d	8761	6.4%
e	8761	6.4%
Other values (4)	19381	14.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	101807	73.9%
Uppercase Letter	35992	26.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
m	20086	19.7%
w	12366	12.1%
o	12366	12.1%
i	12301	12.1%
a	11325	11.1%
u	8761	8.6%
d	8761	8.6%
e	8761	8.6%
h	3540	3.5%
g	3540	3.5%

Uppercase Letter

Value	Count	Frequency (%)
L	12366	34.4%
J	11325	31.5%
M	8761	24.3%
H	3540	9.8%

Most occurring scripts

Value	Count	Frequency (%)
Latin	137799	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
m	20086	14.6%
w	12366	9.0%
o	12366	9.0%
L	12366	9.0%
i	12301	8.9%
a	11325	8.2%
J	11325	8.2%
u	8761	6.4%
d	8761	6.4%
e	8761	6.4%
Other values (4)	19381	14.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	137799	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
m	20086	14.6%
w	12366	9.0%
o	12366	9.0%
L	12366	9.0%
i	12301	8.9%
a	11325	8.2%
J	11325	8.2%
u	8761	6.4%
d	8761	6.4%
e	8761	6.4%
Other values (4)	19381	14.1%

Vehicle_condition
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.0 MiB

2	12079
0	12016
1	11964
3	415

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	36474
Distinct characters	4
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1
2nd row	1
3rd row	2
4th row	1
5th row	2

Common Values

Value	Count	Frequency (%)
2	12079	33.1%
0	12016	32.9%
1	11964	32.8%
3	415	1.1%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
2	12079	33.1%
0	12016	32.9%
1	11964	32.8%
3	415	1.1%

Most occurring characters

Value	Count	Frequency (%)
2	12079	33.1%
0	12016	32.9%
1	11964	32.8%
3	415	1.1%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	36474	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
2	12079	33.1%
0	12016	32.9%
1	11964	32.8%
3	415	1.1%

Most occurring scripts

Value	Count	Frequency (%)
Common	36474	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
2	12079	33.1%
0	12016	32.9%
1	11964	32.8%
3	415	1.1%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	36474	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
2	12079	33.1%
0	12016	32.9%
1	11964	32.8%
3	415	1.1%

Type_of_order
Categorical

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.2 MiB

Snack	9232
Meal	9202
Buffet	9030
Drinks	9010

Length

Max length	6
Median length	5
Mean length	5.24230959
Min length	4

Characters and Unicode

Total characters	191208
Distinct characters	16
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Buffet
2nd row	Buffet
3rd row	Meal
4th row	Snack
5th row	Drinks

Common Values

Value	Count	Frequency (%)
Snack	9232	25.3%
Meal	9202	25.2%
Buffet	9030	24.8%
Drinks	9010	24.7%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
snack	9232	25.3%
meal	9202	25.2%
buffet	9030	24.8%
drinks	9010	24.7%

Most occurring characters

Value	Count	Frequency (%)
a	18434	9.6%
k	18242	9.5%
n	18242	9.5%
e	18232	9.5%
f	18060	9.4%
c	9232	4.8%
S	9232	4.8%
l	9202	4.8%
M	9202	4.8%
t	9030	4.7%
Other values (6)	54100	28.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	154734	80.9%
Uppercase Letter	36474	19.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	18434	11.9%
k	18242	11.8%
n	18242	11.8%
e	18232	11.8%
f	18060	11.7%
c	9232	6.0%
l	9202	5.9%
t	9030	5.8%
u	9030	5.8%
s	9010	5.8%
Other values (2)	18020	11.6%

Uppercase Letter

Value	Count	Frequency (%)
S	9232	25.3%
M	9202	25.2%
B	9030	24.8%
D	9010	24.7%

Most occurring scripts

Value	Count	Frequency (%)
Latin	191208	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	18434	9.6%
k	18242	9.5%
n	18242	9.5%
e	18232	9.5%
f	18060	9.4%
c	9232	4.8%
S	9232	4.8%
l	9202	4.8%
M	9202	4.8%
t	9030	4.7%
Other values (6)	54100	28.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	191208	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
a	18434	9.6%
k	18242	9.5%
n	18242	9.5%
e	18232	9.5%
f	18060	9.4%
c	9232	4.8%
S	9232	4.8%
l	9202	4.8%
M	9202	4.8%
t	9030	4.7%
Other values (6)	54100	28.3%

Type_of_vehicle
Categorical

HIGH CORRELATION

Distinct	4
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	2.3 MiB

motorcycle	21144
scooter	12189
electric_scooter	3085
bicycle	56

Length

Max length	16
Median length	10
Mean length	9.500329001
Min length	7

Characters and Unicode

Total characters	346515
Distinct characters	12
Distinct categories	2 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	scooter
2nd row	motorcycle
3rd row	motorcycle
4th row	motorcycle
5th row	electric_scooter

Common Values

Value	Count	Frequency (%)
motorcycle	21144	58.0%
scooter	12189	33.4%
electric_scooter	3085	8.5%
bicycle	56	0.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
motorcycle	21144	58.0%
scooter	12189	33.4%
electric_scooter	3085	8.5%
bicycle	56	0.2%

Most occurring characters

Value	Count	Frequency (%)
o	72836	21.0%
c	63844	18.4%
e	42644	12.3%
r	39503	11.4%
t	39503	11.4%
l	24285	7.0%
y	21200	6.1%
m	21144	6.1%
s	15274	4.4%
i	3141	0.9%
Other values (2)	3141	0.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	343430	99.1%
Connector Punctuation	3085	0.9%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	72836	21.2%
c	63844	18.6%
e	42644	12.4%
r	39503	11.5%
t	39503	11.5%
l	24285	7.1%
y	21200	6.2%
m	21144	6.2%
s	15274	4.4%
i	3141	0.9%

Connector Punctuation

Value	Count	Frequency (%)
_	3085	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	343430	99.1%
Common	3085	0.9%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	72836	21.2%
c	63844	18.6%
e	42644	12.4%
r	39503	11.5%
t	39503	11.5%
l	24285	7.1%
y	21200	6.2%
m	21144	6.2%
s	15274	4.4%
i	3141	0.9%

Common

Value	Count	Frequency (%)
_	3085	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	346515	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	72836	21.0%
c	63844	18.4%
e	42644	12.3%
r	39503	11.4%
t	39503	11.4%
l	24285	7.0%
y	21200	6.1%
m	21144	6.1%
s	15274	4.4%
i	3141	0.9%
Other values (2)	3141	0.9%

multiple_deliveries
Categorical

HIGH CORRELATION
MISSING

Distinct	4
Distinct (%)	< 0.1%
Missing	792
Missing (%)	2.2%
Memory size	2.1 MiB

1.0	22569
0.0	11268
2.0	1552
3.0	293

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	107046
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	0.0
3rd row	1.0
4th row	1.0
5th row	1.0

Common Values

Value	Count	Frequency (%)
1.0	22569	61.9%
0.0	11268	30.9%
2.0	1552	4.3%
3.0	293	0.8%
(Missing)	792	2.2%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
1.0	22569	63.3%
0.0	11268	31.6%
2.0	1552	4.3%
3.0	293	0.8%

Most occurring characters

Value	Count	Frequency (%)
0	46950	43.9%
.	35682	33.3%
1	22569	21.1%
2	1552	1.4%
3	293	0.3%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	71364	66.7%
Other Punctuation	35682	33.3%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	46950	65.8%
1	22569	31.6%
2	1552	2.2%
3	293	0.4%

Other Punctuation

Value	Count	Frequency (%)
.	35682	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	107046	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	46950	43.9%
.	35682	33.3%
1	22569	21.1%
2	1552	1.4%
3	293	0.3%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	107046	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	46950	43.9%
.	35682	33.3%
1	22569	21.1%
2	1552	1.4%
3	293	0.3%

Festival
Boolean

HIGH CORRELATION

Distinct	2
Distinct (%)	< 0.1%
Missing	187
Missing (%)	0.5%
Memory size	71.4 KiB

False	35574
True	713
(Missing)	187

Common Values
Category Frequency Plot

Value	Count	Frequency (%)
False	35574	97.5%
True	713	2.0%
(Missing)	187	0.5%

City
Categorical

MISSING

Distinct	3
Distinct (%)	< 0.1%
Missing	958
Missing (%)	2.6%
Memory size	2.3 MiB

Metropolitian	27315
Urban	8074
Semi-Urban	127

Length

Max length	13
Median length	13
Mean length	11.17059917
Min length	5

Characters and Unicode

Total characters	396735
Distinct characters	15
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Metropolitian
2nd row	Metropolitian
3rd row	Metropolitian
4th row	Metropolitian
5th row	Metropolitian

Common Values

Value	Count	Frequency (%)
Metropolitian	27315	74.9%
Urban	8074	22.1%
Semi-Urban	127	0.3%
(Missing)	958	2.6%

Length

Histogram of lengths of the category

Category Frequency Plot

Value	Count	Frequency (%)
metropolitian	27315	76.9%
urban	8074	22.7%
semi-urban	127	0.4%

Most occurring characters

Value	Count	Frequency (%)
i	54757	13.8%
o	54630	13.8%
t	54630	13.8%
n	35516	9.0%
a	35516	9.0%
r	35516	9.0%
e	27442	6.9%
l	27315	6.9%
p	27315	6.9%
M	27315	6.9%
Other values (5)	16783	4.2%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	360965	91.0%
Uppercase Letter	35643	9.0%
Dash Punctuation	127	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
i	54757	15.2%
o	54630	15.1%
t	54630	15.1%
n	35516	9.8%
a	35516	9.8%
r	35516	9.8%
e	27442	7.6%
l	27315	7.6%
p	27315	7.6%
b	8201	2.3%

Uppercase Letter

Value	Count	Frequency (%)
M	27315	76.6%
U	8201	23.0%
S	127	0.4%

Dash Punctuation

Value	Count	Frequency (%)
-	127	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	396608	> 99.9%
Common	127	< 0.1%

Most frequent character per script

Latin

Value	Count	Frequency (%)
i	54757	13.8%
o	54630	13.8%
t	54630	13.8%
n	35516	9.0%
a	35516	9.0%
r	35516	9.0%
e	27442	6.9%
l	27315	6.9%
p	27315	6.9%
M	27315	6.9%
Other values (4)	16656	4.2%

Common

Value	Count	Frequency (%)
-	127	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	396735	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
i	54757	13.8%
o	54630	13.8%
t	54630	13.8%
n	35516	9.0%
a	35516	9.0%
r	35516	9.0%
e	27442	6.9%
l	27315	6.9%
p	27315	6.9%
M	27315	6.9%
Other values (5)	16783	4.2%

Time_taken
Real number (ℝ_≥0)

HIGH CORRELATION

Distinct	45
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	26.28639579

Minimum	10
Maximum	54
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	285.1 KiB

Quantile statistics

Minimum	10
5-th percentile	13
Q1	19
median	26
Q3	32
95-th percentile	44
Maximum	54
Range	44
Interquartile range (IQR)	13

Descriptive statistics

Standard deviation	9.38207989
Coefficient of variation (CV)	0.3569176986
Kurtosis	-0.3118708603
Mean	26.28639579
Median Absolute Deviation (MAD)	7
Skewness	0.4845153376
Sum	958770
Variance	88.02342307
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=45)

Value	Count	Frequency (%)
26	1669	4.6%
25	1643	4.5%
27	1618	4.4%
28	1577	4.3%
29	1557	4.3%
15	1475	4.0%
19	1448	4.0%
18	1413	3.9%
16	1378	3.8%
17	1354	3.7%
Other values (35)	21342	58.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
10	600	1.6%
11	610	1.7%
12	597	1.6%
13	570	1.6%
14	586	1.6%
15	1475	4.0%
16	1378	3.8%
17	1354	3.7%
18	1413	3.9%
19	1448	4.0%

Value	Count	Frequency (%)
54	70	0.2%
53	79	0.2%
52	67	0.2%
51	75	0.2%
50	54	0.1%
49	228	0.6%
48	230	0.6%
47	228	0.6%
46	203	0.6%
45	198	0.5%

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

First rows

	Delivery_person_Age	Delivery_person_Ratings	Restaurant_latitude	Restaurant_longitude	Delivery_location_latitude	Delivery_location_longitude	Order_Date	Time_Orderd	Time_Order_picked	Weather	Road_traffic_density	Vehicle_condition	Type_of_order	Type_of_vehicle	multiple_deliveries	Festival	City	Time_taken
0	32.0	4.6	12.310972	76.659264	12.330972	76.679264	15-03-2022	11:50	12:05	Cloudy	High	1	Buffet	scooter	1.0	No	Metropolitian	32.0
1	32.0	4.5	22.761226	75.887522	22.851226	75.977522	16-03-2022	19:40	19:45	Sandstorms	Jam	1	Buffet	motorcycle	0.0	No	Metropolitian	37.0
2	38.0	4.9	21.175104	72.804342	21.255104	72.884342	31-03-2022	23:20	23:25	Sandstorms	Low	2	Meal	motorcycle	1.0	No	Metropolitian	18.0
3	27.0	4.7	26.911927	75.797282	26.991927	75.877282	20-03-2022	20:60	21:15	Stormy	Jam	1	Snack	motorcycle	1.0	No	Metropolitian	29.0
4	28.0	4.8	12.299524	76.642620	12.349524	76.692620	30-03-2022	21:50	22:05	Sandstorms	Jam	2	Drinks	electric_scooter	1.0	No	Metropolitian	14.0
5	20.0	4.5	23.359194	85.325447	23.409194	85.375447	11-03-2022	21:45	21:55	Windy	Jam	2	Meal	scooter	0.0	No	Metropolitian	19.0
6	23.0	5.0	13.005801	80.250744	13.095801	80.340744	12-03-2022	17:40	17:45	Sandstorms	Medium	1	Drinks	scooter	0.0	No	Metropolitian	28.0
7	21.0	4.6	23.354422	85.332900	23.434422	85.412900	04-03-2022	17:50	17:60	Windy	Medium	1	Buffet	scooter	NaN	No	Metropolitian	24.0
8	38.0	4.7	22.308096	73.167753	22.348096	73.207753	19-03-2022	14:50	14:60	Sunny	High	1	Buffet	scooter	1.0	No	Metropolitian	23.0
9	34.0	3.5	13.029780	80.208812	13.099780	80.278812	20-03-2022	23:15	23:20	Fog	Low	2	Meal	scooter	0.0	No	Metropolitian	39.0

Last rows

	Delivery_person_Age	Delivery_person_Ratings	Restaurant_latitude	Restaurant_longitude	Delivery_location_latitude	Delivery_location_longitude	Order_Date	Time_Orderd	Time_Order_picked	Weather	Road_traffic_density	Vehicle_condition	Type_of_order	Type_of_vehicle	multiple_deliveries	Festival	City	Time_taken
36464	25.0	4.8	25.450317	81.831681	25.490317	81.871681	13-02-2022	15:45	15:55	Stormy	Medium	2	Meal	motorcycle	0.0	No	Urban	22.0
36465	33.0	4.4	19.878028	75.317475	20.008028	75.447475	12-02-2022	20:60	21:05	Sandstorms	Jam	0	Buffet	motorcycle	2.0	No	Metropolitian	48.0
36466	26.0	NaN	0.000000	0.000000	0.080000	0.080000	16-02-2022	23:50	23:55	Cloudy	Low	1	Buffet	scooter	1.0	No	Metropolitian	28.0
36467	26.0	4.9	12.978453	77.643685	13.038453	77.703685	05-03-2022	23:60	24:05	Fog	Low	2	Buffet	electric_scooter	1.0	No	Urban	14.0
36468	36.0	4.7	17.483216	78.552111	17.543216	78.612111	13-03-2022	17:25	17:35	Fog	Medium	2	Drinks	scooter	0.0	No	Urban	19.0
36469	24.0	5.0	12.972161	77.596014	13.032161	77.656014	09-03-2022	23:30	23:45	Sunny	Low	2	Drinks	electric_scooter	0.0	No	Metropolitian	22.0
36470	29.0	3.6	12.310972	76.659264	12.320972	76.669264	24-03-2022	11:30	11:45	Sunny	High	0	Buffet	motorcycle	3.0	No	Metropolitian	48.0
36471	31.0	4.7	12.970221	77.645396	12.980221	77.655396	13-03-2022	8:15	8:25	Sunny	Low	2	Drinks	scooter	0.0	No	NaN	18.0
36472	38.0	4.2	21.175975	72.795503	21.305975	72.925503	08-03-2022	18:15	18:30	Cloudy	Medium	2	Meal	scooter	1.0	No	Metropolitian	31.0
36473	25.0	4.9	13.027018	80.254791	13.137018	80.364791	25-03-2022	20:35	20:45	Stormy	Jam	0	Meal	motorcycle	1.0	No	Metropolitian	34.0

Overview

Variables

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Dash Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Other Punctuation

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Uppercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Category Frequency Plot

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks